What is Sahara AI for?

• Sahara AI aims to bring AI solutions to a broader audience and secure these solutions in a decentralized environment.
• While traditional AI solutions are often monopolized by large tech companies, Sahara AI aims to democratize this technology.
• The platform allows users to train their own AI models, sell or rent these models. Additionally, it protects data privacy, ensuring users’ data is kept secure.

How Does Sahara AI Work?

Sahara AI operates on a structure working in four fundamental layers. These layers are designed to ensure the security, functionality, and scalability of the platform.

Layer 1: Application Layer

• Secure Vaults: This layer provides decentralized storage solutions for AI assets. It uses advanced encryption methods to protect data privacy and integrity, ensuring users’ data is secured.
• Decentralized AI Marketplace: Sahara AI promotes fair pricing and innovation for the production, buying, selling, and access to valuable data sets, models, and AI tools.
• No-Code Toolkit: It includes tools that allow users to create and deploy personalized AI models. This is achieved using decentralized PEFT (Parameter-Efficient Fine-Tuning) methods.
• Sahara ID: A reputation system that manages user profiles, access control, and contribution records. Sahara ID ensures trust and accountability on the platform.

Layer 2: Transaction Layer

• Proof of Stake: In this layer, the Proof of Stake (PoS) consensus mechanism is used. PoS provides high fault tolerance and enables the network to reach correct consensus even in the presence of malicious nodes.
• Sahara AI-Native Precompile: Precompilations are designed to optimize and enhance AI operations directly in the blockchain environment, making AI processes faster and more efficient.

Layer 3: Data Layer

• On-Chain Data: Immutable records of user transactions and attributes are kept. These records make reputation management secure and transparent.
• Off-Chain Data: It provides decentralized storage solutions for large datasets. Security is ensured through integrity mechanisms such as Merkle trees and zero-knowledge proofs.
• Mechanisms: Techniques used to verify data integrity, prevent duplication, and ensure security. These mechanisms also ensure that data remains continuously accessible.

Layer 4: Execution Layer

• Abstraction of Vaults: Provides storage and management spaces for AI. These spaces can be directly accessed, used for model training, or utilized in knowledge-supported production processes.
• Abstraction of AI Models: Supports various models, from traditional machine learning (ML) models to large language models (LLM) and multimodal generative models.
• Abstraction of AI Agents: Autonomous models that use advanced algorithms, continuously learn, use tools, and provide personality alignment.
• AI Computation Protocols: Supports various paradigms for AI training, inference, and service delivery. These protocols enable efficient, collaborative, and high-performance model arrangements.
• Agent Framework Protocols: Manages the interactions and coordination of AI models within the Sahara AI Execution Layer.

Supporters and Investors

Sahara AI is supported by 19 leading investor companies in the industry. These investors include prominent firms such as Binance Labs, Pantera, Polychain Capital, Sequoia, Matrix Partners, Samsung Next, and DAO5.

Additionally, Sahara AI has attracted the interest of angel investors recognized in the AI and technology fields. Names like Rohan Taori (Anthropic, Stanford Alpaca), Elvis Zhang (Founding Team, Midjourney), and Vipul Prakash (CEO, Together AI) add value to the project and provide strategic guidance.

Roadmap

2024 – Q3

• Sahara AI Marketplace: Launching the first phase to enable community collaboration on high-value knowledge bases.

2024 – Q4

• Sahara Chain Testnet: Introducing the test network for developers to verify the core features of Sahara Chain.

2025 – Q1

• Sahara Chain Mainnet: Full launch of the operational blockchain platform supporting decentralized AI applications.

2025 – Q2

• Sahara Agent: Deployment of personal AI models using personal user data and domain models.

Sahara AI (SAHARA) Tokenomics

• Ecosystem Development: 37.43%
• Community Incentives: 20.00%
• Investors: 19.75%
• Core Contributors: 15.00%
• Knowledge Sharing: 5.00%
• Buildpad IDO: 1.42%
• Liquidity Provision: 1.00%
• OKX Campaign: 0.40%

Sahara AI (SAHARA) Vesting (TGE Unlock Percentages)

• Community Incentives: 25.00%
• Ecosystem Development: 25.00%
• Liquidity Provision: 100.00%
• OKX Campaign: 100.00%
• Knowledge Sharing: 42.00%
• Core Contributors: 0.00%
• Investors: 0.00%
• Buildpad IDO: 100.00%

Project Team

Sahara AI is led by an experienced team specializing in AI and blockchain. The team members include:

Sean Ren – Co-Founder and CEO
Tyler Zhou – Co-Founder and COO
Aaron Scales – Product
Lara Avedissian – Ecosystem
Jane Shin – Marketing
Katerina Lelikova – Operations

and four others.

Official Links

• Sahara AI (SAHARA) Website
• Sahara AI (SAHARA) X (Twitter)
• Sahara AI (SAHARA) Litepaper

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